Maternal BMI at the start of pregnancy and offspring epigenome-wide DNA methylation: Findings from the pregnancy and childhood epigenetics (PACE) consortium

Gemma C. Sharp, Lucas A. Salas, Claire Monnereau, Catherine Allard, Paul Yousefi, Todd M. Everson, Jon Bohlin, Zongli Xu, Rae Chi Huang, Sarah E. Reese, Cheng Jian Xu, Nour Baïz, Cathrine Hoyo, Golareh Agha, Ritu Roy, John W. Holloway, Akram Ghantous, Simon K. Merid, Kelly M. Bakulski, Leanne K. KüpersHongmei Zhang, Rebecca C. Richmond, Christian M. Page, Liesbeth Duijts, Rolv T. Lie, Phillip E. Melton, Judith M. Vonk, Ellen A. Nohr, Clar Lynda Williams-DeVane, Karen Huen, Sheryl L. Rifas-Shiman, Carlos Ruiz-Arenas, Semira Gonseth, Faisal I. Rezwan, Zdenko Herceg, Sandra Ekström, Lisa Croen, Fahimeh Falahi, Patrice Perron, Margaret R. Karagas, Bilal M. Quraishi, Matthew Suderman, Maria C. Magnus, Vincent W.V. Jaddoe, Jack A. Taylor, Denise Anderson, Shanshan Zhao, Henriette A. Smit, Michele J. Josey, Asa Bradman, Andrea A. Baccarelli, Mariona Bustamante, Siri E. Håberg, Göran Pershagen, Irva Hertz-Picciotto, Craig Newschaffer, Eva Corpeleijn, Luigi Bouchard, Debbie A. Lawlor, Rachel L. Maguire, Lisa F. Barcellos, George Davey Smith, Brenda Eskenazi, Wilfried Karmaus, Carmen J. Marsit, Marie France Hivert, Harold Snieder, M. Daniele Fallin, Erik Melén, Monica C. Munthe-Kaas, Hasan Arshad, Joseph L. Wiemels, Isabella Annesi-Maesano, Martine Vrijheid, Emily Oken, Nina Holland, Susan K. Murphy, Thorkild I.A. Sørensen, Gerard H. Koppelman, John P. Newnham, Allen J. Wilcox, Wenche Nystad, Stephanie J. London, Janine F. Felix, Caroline L. Relton

Research output: Contribution to journalArticle

Abstract

Pre-pregnancy maternal obesity is associated with adverse offspring outcomes at birth and later in life. Individual studies have shown that epigenetic modifications such as DNA methylation could contribute. Within the Pregnancy and Childhood Epigenetics (PACE) Consortium, we meta-analysed the association between pre-pregnancy maternal BMI and methylation at over 450,000 sites in newborn blood DNA, across 19 cohorts (9,340 mother-newborn pairs). We attempted to infer causality by comparing the effects of maternal versus paternal BMI and incorporating genetic variation. In four additional cohorts (1,817 mother-child pairs), we meta-analysed the association between maternal BMI at the start of pregnancy and blood methylation in adolescents. In newborns, maternal BMI was associated with small (<0.2% per BMI unit (1 kg/m2), P < 1.06 × 10-7) methylation variation at 9,044 sites throughout the genome. Adjustment for estimated cell proportions greatly attenuated the number of significant CpGs to 104, including 86 sites common to the unadjusted model. At 72/86 sites, the direction of the association was the same in newborns and adolescents, suggesting persistence of signals. However, we found evidence for a6causal intrauterine effect of maternal BMI on newborn methylation at just 8/86 sites. In conclusion, this well-powered analysis identified robust associations between maternal adiposity and variations in newborn blood DNA methylation, but these small effects may be better explained by genetic or lifestyle factors than a causal intrauterine mechanism. This highlights the need for large-scale collaborative approaches and the application of causal inference techniques in epigenetic epidemiology.

Original languageEnglish (US)
Pages (from-to)4067-4085
Number of pages19
JournalHuman molecular genetics
Volume26
Issue number20
DOIs
StatePublished - Oct 15 2017

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics
  • Genetics(clinical)

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    Sharp, G. C., Salas, L. A., Monnereau, C., Allard, C., Yousefi, P., Everson, T. M., Bohlin, J., Xu, Z., Huang, R. C., Reese, S. E., Xu, C. J., Baïz, N., Hoyo, C., Agha, G., Roy, R., Holloway, J. W., Ghantous, A., Merid, S. K., Bakulski, K. M., ... Relton, C. L. (2017). Maternal BMI at the start of pregnancy and offspring epigenome-wide DNA methylation: Findings from the pregnancy and childhood epigenetics (PACE) consortium. Human molecular genetics, 26(20), 4067-4085. https://doi.org/10.1093/hmg/ddx290